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MongoDB

Senior Staff Product Manager, Atlas Clusters

MongoDB is hiring a Senior Staff Product Manager, Atlas Clusters in Cork and Dublin, Ireland. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting allows some remote work.
  • Tools and skills the posting cites include product management, database systems and cloud computing.
  • Level classifies it as an executive role.
  • Level lists 361 other open roles at MongoDB.

AI in this role

Shape multi-year strategy, product architecture, and roadmap for MongoDB Atlas database service clusters.

product-managementdatabase-systemscloud-computingstrategy

The MongoDB Atlas Clusters Team is seeking a Senior Staff Product Manager to provide division-wide, product leadership for MongoDB Atlas which is our best-in-class, fully managed, multi-cloud database service that simplifies the complexities of deploying and managing highly available database deployments across multiple regions and cloud providers. As the most senior product management contributor, you will shape the multi-year strategy, product architecture, and market trajectory for the entire Atlas Clusters business unit.

You will be the primary product authority on the most complex trade-offs, anticipating systemic risks and cutting through structural friction that blocks multiple teams and initiatives. This role requires collaboration with distinguished engineers to rigorously debate strategy and pressure-test assumptions and advise executive leadership on options that balance long-term monetization, strategy, and business outcomes. And, where relevant, owns the pricing and monetization strategy for the product line.

We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model.

Responsibilities

  • Product Vision and Roadmap: Spearhead strategic unity across multiple product areas over a multi-year horizon to drive a coherent product experience
  • Business Leadership: Originate and de-risk the division’s most consequential strategic bets, owning rigorous business cases and advising leadership on multi-year economic outcomes
  • Customer Advocacy: Engage with strategically significant customers at the senior level (e.g., advisory boards and executive briefings) to surface cross-portfolio opportunities and inform the roadmap
  • PM Excellence: Elevate the global standard of product management by mentoring Staff and Senior PMs and pioneering new data-driven playbooks across the organization. Create frameworks and standards for customer and market research that others use for conducting high-quality customer and market research
  • Cross-Functional Alignment and Execution: Partner with Directors and VPs to shape investment allocation and sequencing across the Atlas Clusters portfolio
  • Market and Engagement: Act as a primary external face for the product line, representing MongoDB to the industry, developers, standards bodies and at major conferences

Requirements

  • Experience: 10+ years of professional experience, including significant leadership in product management for platform, infrastructure, or database domains
  • Communication: Exceptional ability to communicate complex technical issues simply and convincingly to a wide range of audiences, including executive leadership
  • Strategic Execution: Proven success in delivering complex cross-functional projects and the ability to write, defend, and execute on multi-year business cases
  • Education: B.Sc. in a technical discipline, with Computer Science preferred, or equivalent relevant experience
  • Domain Expertise: Deep technical fluency in Databases, distributed systems, and cloud infrastructure

Nice to Have

  • MBA, M.Sc., or Ph.D. in relevant technical or business domains
  • Experience with MongoDB or other non-relational database technologies
  • Demonstrated success leading products targeting developer personas in fast-paced, growing environments
  • Familiarity with open-source and cloud-native technologies

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3273519782

How we rate this

Senior Staff Product Manager, Atlas Clusters at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Skills and AI tools this role asks for

Product ManagementDatabase SystemsCloud ComputingStrategy

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  2. Tell me about a project where database systems was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. Tell me about a project where strategy was part of your work. What did you do?

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